ReviewInternational journal of general medicine2025
Mechanism of Morbidity Based on Ulcerative Colitis: A Review of Traditional Chinese Medicine Treatment of Ulcerative Colitis.
Review in International journal of general medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Review
- Tannins as Therapeutic Agents for Ulcerative Colitis: Mechanisms and Prospects in Regulating Gut Inflammatory-Oxidative Homeostasis.Molecules (Basel, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ulcerative colitis (UC) is a chronic inflammatory disease of the colon and rectum that has become an increasing global health concern. Its pathogenesis is multifactorial, involving genetic susceptibility, environmental triggers, epithelial barrier dysfunction, gut microbiota imbalance, and immune dysregulation. Clinically, UC is characterized by bloody diarrhea, mucosal inflammation, and a relapsing-remitting course, with diagnosis typically confirmed by clinical, endoscopic, histological, and laboratory findings. Despite the increasing number of therapeutic options, including corticosteroids, immunosuppressants, and biologics, many patients still experience suboptimal responses or adverse events, and some ultimately require colectomy. In this context, Traditional Chinese Medicine (TCM) has attracted attention as a complementary approach due to its multi-target mechanisms and historical use in gastrointestinal diseases. This review summarizes recent evidence on the application of TCM in UC, including its theoretical foundations, active compounds, and modulation of key signaling pathways such as TLR4/NF-κB, NLRP3, JAK/STAT3, PI3K/Akt, Notch, and AMPK/mTOR. Additionally, we highlight clinical data from randomized controlled trials (RCTs) evaluating TCM formulas either as monotherapy or in combination with conventional treatments. Some studies report improvements in symptom scores, inflammatory markers, and endoscopic healing when TCM is combined with agents like mesalazine. However, these findings must be interpreted with caution. Most RCTs are single-center with small sample sizes, lack placebo control, and show considerable heterogeneity in intervention protocols and outcome assessments, making quantitative comparisons to standard therapies, such as remission rates or adverse event frequencies relative to mesalazine or biologics, being limited. Therefore, while TCM demonstrates therapeutic potential in UC management, more rigorous evidence is needed to establish its comparative efficacy and safety. Future studies should include large-scale, multicenter, placebo-controlled RCTs with standardized endpoints, and consider integrating TCM syndrome differentiation with modern pathophysiological frameworks to enhance clinical relevance and translational value.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.